Github user andrewor14 commented on a diff in the pull request:
https://github.com/apache/spark/pull/2350#discussion_r17634734
--- Diff:
yarn/common/src/main/scala/org/apache/spark/scheduler/cluster/YarnClientSchedulerBackend.scala
---
@@ -36,113 +36,114 @@ private[spark] class YarnClientSchedulerBackend(
var client: Client = null
var appId: ApplicationId = null
- var checkerThread: Thread = null
var stopping: Boolean = false
var totalExpectedExecutors = 0
- private[spark] def addArg(optionName: String, envVar: String, sysProp:
String,
- arrayBuf: ArrayBuffer[String]) {
- if (System.getenv(envVar) != null) {
- arrayBuf += (optionName, System.getenv(envVar))
- } else if (sc.getConf.contains(sysProp)) {
- arrayBuf += (optionName, sc.getConf.get(sysProp))
- }
- }
-
+ /**
+ * Create a Yarn client to submit an application to the ResourceManager.
+ * This waits until the application is running.
+ */
override def start() {
super.start()
-
val driverHost = conf.get("spark.driver.host")
val driverPort = conf.get("spark.driver.port")
val hostport = driverHost + ":" + driverPort
conf.set("spark.driver.appUIAddress", sc.ui.appUIHostPort)
val argsArrayBuf = new ArrayBuffer[String]()
- argsArrayBuf += (
- "--args", hostport
- )
-
- // process any optional arguments, given either as environment
variables
- // or system properties. use the defaults already defined in
ClientArguments
- // if things aren't specified. system properties override environment
- // variables.
- List(("--driver-memory", "SPARK_MASTER_MEMORY", "spark.master.memory"),
- ("--driver-memory", "SPARK_DRIVER_MEMORY", "spark.driver.memory"),
- ("--num-executors", "SPARK_WORKER_INSTANCES",
"spark.executor.instances"),
- ("--num-executors", "SPARK_EXECUTOR_INSTANCES",
"spark.executor.instances"),
- ("--executor-memory", "SPARK_WORKER_MEMORY",
"spark.executor.memory"),
- ("--executor-memory", "SPARK_EXECUTOR_MEMORY",
"spark.executor.memory"),
- ("--executor-cores", "SPARK_WORKER_CORES", "spark.executor.cores"),
- ("--executor-cores", "SPARK_EXECUTOR_CORES", "spark.executor.cores"),
- ("--queue", "SPARK_YARN_QUEUE", "spark.yarn.queue"),
- ("--name", "SPARK_YARN_APP_NAME", "spark.app.name"))
- .foreach { case (optName, envVar, sysProp) => addArg(optName, envVar,
sysProp, argsArrayBuf) }
-
- logDebug("ClientArguments called with: " + argsArrayBuf)
+ argsArrayBuf += ("--arg", hostport)
+ argsArrayBuf ++= getExtraClientArguments
+
+ logDebug("ClientArguments called with: " + argsArrayBuf.mkString(" "))
val args = new ClientArguments(argsArrayBuf.toArray, conf)
totalExpectedExecutors = args.numExecutors
client = new Client(args, conf)
- appId = client.runApp()
- waitForApp()
- checkerThread = yarnApplicationStateCheckerThread()
+ appId = client.submitApplication()
+ waitForApplication()
+ asyncMonitorApplication()
}
- def waitForApp() {
-
- // TODO : need a better way to find out whether the executors are
ready or not
- // maybe by resource usage report?
- while(true) {
- val report = client.getApplicationReport(appId)
-
- logInfo("Application report from ASM: \n" +
- "\t appMasterRpcPort: " + report.getRpcPort() + "\n" +
- "\t appStartTime: " + report.getStartTime() + "\n" +
- "\t yarnAppState: " + report.getYarnApplicationState() + "\n"
+ /**
+ * Return any extra command line arguments to be passed to Client
provided in the form of
+ * environment variables or Spark properties.
+ */
+ private def getExtraClientArguments: Seq[String] = {
+ val extraArgs = new ArrayBuffer[String]
+ val optionTuples = // List of (target Client argument, environment
variable, Spark property)
+ List(
+ ("--driver-memory", "SPARK_MASTER_MEMORY", "spark.master.memory"),
+ ("--driver-memory", "SPARK_DRIVER_MEMORY", "spark.driver.memory"),
+ ("--num-executors", "SPARK_WORKER_INSTANCES",
"spark.executor.instances"),
+ ("--num-executors", "SPARK_EXECUTOR_INSTANCES",
"spark.executor.instances"),
+ ("--executor-memory", "SPARK_WORKER_MEMORY",
"spark.executor.memory"),
+ ("--executor-memory", "SPARK_EXECUTOR_MEMORY",
"spark.executor.memory"),
+ ("--executor-cores", "SPARK_WORKER_CORES", "spark.executor.cores"),
+ ("--executor-cores", "SPARK_EXECUTOR_CORES",
"spark.executor.cores"),
+ ("--queue", "SPARK_YARN_QUEUE", "spark.yarn.queue"),
+ ("--name", "SPARK_YARN_APP_NAME", "spark.app.name")
)
-
- // Ready to go, or already gone.
- val state = report.getYarnApplicationState()
- if (state == YarnApplicationState.RUNNING) {
- return
- } else if (state == YarnApplicationState.FINISHED ||
- state == YarnApplicationState.FAILED ||
- state == YarnApplicationState.KILLED) {
- throw new SparkException("Yarn application already ended," +
- "might be killed or not able to launch application master.")
+ optionTuples.foreach { case (optionName, envVar, sparkProp) =>
+ if (System.getenv(envVar) != null) {
+ extraArgs += (optionName, System.getenv(envVar))
+ } else if (sc.getConf.contains(sparkProp)) {
+ extraArgs += (optionName, sc.getConf.get(sparkProp))
--- End diff --
I have filed this at
[SPARK-3557](https://issues.apache.org/jira/browse/SPARK-3557)
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